AI Summary
Seeking a Senior Data Engineer with strong hands-on experience across the GCP Native Platform to build scalable data pipelines and deliver enterprise-grade data solutions.
Key Highlights
Build batch/streaming pipelines using Dataflow (Apache Beam)
Develop and manage Airflow DAGs in Cloud Composer
Implement ELT pipelines using Dataform
Technical Skills Required
Benefits & Perks
Fully Remote
Long-Term Contract
C2C / W2 / 1099
Min 12+ Years
Any Visa
Job Description
Senior Data Engineer - GCP Native Platform
Fully Remote | Long-Term Contract | C2C / W2 / 1099 | Min 12+ Years | Any Visa
Role Summary
Seeking a Senior Data Engineer with strong hands-on experience across the GCP Native Platform to build scalable data pipelines and deliver enterprise-grade data solutions.
Key Responsibilities
Build batch/streaming pipelines using Dataflow (Apache Beam).
Develop and manage Airflow DAGs in Cloud Composer.
Implement ELT pipelines using Dataform.
Design optimized BigQuery datasets (schemas, partitioning, materialized views).
Implement event-driven ingestion using Pub/Sub and manage data lakes on GCS.
Ensure pipeline performance, data quality, monitoring, and production support.
Required Experience
5+ years Data Engineering experience, including 2+ years on GCP.
Strong experience with BigQuery, Dataflow, Cloud Composer, Pub/Sub, GCS.
Proficiency in SQL & Python and building production-grade pipelines.
Git and CI/CD experience.
Additional/Preferred Skills
Dataform or dbt
Terraform basics
Data modeling and data quality frameworks
Cloud Functions, Dataproc, real-time streaming
GCP Professional Data Engineer certification (preferred)